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A comparison of imputation methods in the presence of imprecise data when employing a neural network s-Sigmoid function.
Marvin L. Brown
John Francis Kros
Published in:
Int. J. Bus. Intell. Data Min. (2007)
Keyphrases
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sigmoid function
imprecise data
missing data
neural network
rough sets
activation function
uncertain data
rough set theory
imputation methods
missing values
naive bayes classifier
trained neural network
data sets
learning algorithm
feed forward
hidden layer